• Advances in environmental research
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• v.8 no.1
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• pp.1-21
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• 2019

In the present study, analysis of contaminant transport through one dimensional unsaturated stratified media using element free Galerkin method has been presented. Element free Galerkin method is a meshfree method. A FORTRAN code has been developed for the same. The developed model is compared with the results available in the literature and are found in good agreement. Further a parametric study has been conducted to examine the effects of various parameters like velocity, dispersivity, retardation factor and effect of saturation on the contaminant flow. The results presented conclude that transport of contaminant is retarded in unsaturated zone in comparison with the saturated zone.

• Journal of Distribution Science
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• v.12 no.1
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• pp.29-33
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• 2014

Purpose - The focal point of this research is to study the implications of retention, various reasons for attrition and also different ways to control attrition along with the employee retention strategies implementing by the Indian IT sector. Research design, data and methodology - After thorough literature review on employee attrition and retention, questionnaire has prepared to collect the opinions of 200 employees which were chosen from 20 IT companies (10 each from large and medium size companies) with simple random sampling technique and also gathered the opinion of these companies HR managers on strategies they are implementing to retain their talent pool through personal and telephonic interviews. Results -The research completely limited to the IT companies located in the city of Pune which is emerged as a new IT hub of India. The collected data was analyzed with Microsoft Excel and frequency distribution. Conclusions - The researchers identified job associated, compensation related and inter-personal relations for quitting their positions along with the outlook of Indian IT companies related to the identification and implementation of retention strategies like incessant hikes in compensation package, improved working conditions, continuous introduction of employee welfare facilities, and genuine promotional policy, recognition and rewards, career planning and development, and exemplary leadership.

• Advances in environmental research
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• v.6 no.2
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• pp.83-94
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• 2017

Air quality planning and management requires accurate and consistent records of the air quality parameters. Limited number of monitoring stations and inconsistent measurements of the air quality parameters is a very serious problem in many parts of India. It becomes difficult for the authorities to plan proactive measures with such a limited data. Estimation models can be developed using soft computing techniques considering the physics behind pollution dispersion as they can work very well with limited data. They are more realistic and can present the complete picture about the air quality. In the present case study spatio-temporal models using Linear Genetic Programming (LGP) have been developed for estimation of air quality parameters. The air quality data from four monitoring stations of an Indian city has been used and LGP models have been developed to estimate pollutant concentration of the fifth station. Three types of models are developed. In the first type, models are developed considering only the pollutant concentrations at the neighboring stations without considering the effect of distance between the stations as well the significance of the prevailing wind direction. Second type of models are distance based models based on the hypothesis that there will be atmospheric interactions between the two stations under consideration and the effect increases with decrease in the distance between the two. In third type the effect of the prevailing wind direction is also considered in choosing the input stations in wind and distance based models. Models are evaluated using Band Error and it was observed that majority of the errors are in +/-1 band.